Crow vs Subsaharan African Community Comparison
COMPARE
Crow
Subsaharan African
Social Comparison
Social Comparison
Crow
Sub-Saharan Africans
2,555
SOCIAL INDEX
23.1/ 100
SOCIAL RATING
251st/ 347
SOCIAL RANK
977
SOCIAL INDEX
7.3/ 100
SOCIAL RATING
330th/ 347
SOCIAL RANK
Subsaharan African Integration in Crow Communities
The statistical analysis conducted on geographies consisting of 57,579,785 people shows a substantial positive correlation between the proportion of Sub-Saharan Africans within Crow communities in the United States with a correlation coefficient (R) of 0.534. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 0.134% in Sub-Saharan Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to an increase of 134.1 Sub-Saharan Africans.
Crow vs Subsaharan African Income
When considering income, the most significant differences between Crow and Subsaharan African communities in the United States are seen in per capita income ($31,729 compared to $40,152, a difference of 26.6%), median family income ($76,605 compared to $93,748, a difference of 22.4%), and householder income ages 45 - 64 years ($74,257 compared to $90,691, a difference of 22.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,012 compared to $48,691, a difference of 3.6%), median female earnings ($35,266 compared to $38,391, a difference of 8.9%), and median earnings ($38,707 compared to $44,118, a difference of 14.0%).
Income Metric | Crow | Subsaharan African |
Per Capita Income | Tragic $31,729 | Tragic $40,152 |
Median Family Income | Tragic $76,605 | Tragic $93,748 |
Median Household Income | Tragic $63,681 | Tragic $77,631 |
Median Earnings | Tragic $38,707 | Tragic $44,118 |
Median Male Earnings | Tragic $42,434 | Tragic $50,408 |
Median Female Earnings | Tragic $35,266 | Tragic $38,391 |
Householder Age | Under 25 years | Tragic $47,012 | Tragic $48,691 |
Householder Age | 25 - 44 years | Tragic $71,337 | Tragic $84,235 |
Householder Age | 45 - 64 years | Tragic $74,257 | Tragic $90,691 |
Householder Age | Over 65 years | Tragic $49,234 | Tragic $56,615 |
Wage/Income Gap | Exceptional 19.1% | Exceptional 22.8% |
Crow vs Subsaharan African Poverty
When considering poverty, the most significant differences between Crow and Subsaharan African communities in the United States are seen in single father poverty (30.3% compared to 16.9%, a difference of 78.9%), single male poverty (23.3% compared to 13.7%, a difference of 69.8%), and married-couple family poverty (9.6% compared to 5.7%, a difference of 68.7%). Conversely, both communities are more comparable in terms of receiving food stamps (13.4% compared to 14.1%, a difference of 5.0%), seniors poverty over the age of 75 (15.9% compared to 13.2%, a difference of 20.5%), and single mother poverty (38.6% compared to 31.4%, a difference of 23.2%).
Poverty Metric | Crow | Subsaharan African |
Poverty | Tragic 20.7% | Tragic 14.5% |
Families | Tragic 16.1% | Tragic 10.9% |
Males | Tragic 19.1% | Tragic 13.3% |
Females | Tragic 22.1% | Tragic 15.8% |
Females 18 to 24 years | Tragic 33.2% | Tragic 22.0% |
Females 25 to 34 years | Tragic 22.7% | Tragic 15.6% |
Children Under 5 years | Tragic 31.0% | Tragic 20.8% |
Children Under 16 years | Tragic 26.0% | Tragic 19.9% |
Boys Under 16 years | Tragic 26.3% | Tragic 20.0% |
Girls Under 16 years | Tragic 26.4% | Tragic 20.1% |
Single Males | Tragic 23.3% | Tragic 13.7% |
Single Females | Tragic 32.4% | Tragic 23.2% |
Single Fathers | Tragic 30.3% | Tragic 16.9% |
Single Mothers | Tragic 38.6% | Tragic 31.4% |
Married Couples | Tragic 9.6% | Tragic 5.7% |
Seniors Over 65 years | Tragic 15.2% | Tragic 12.1% |
Seniors Over 75 years | Tragic 15.9% | Tragic 13.2% |
Receiving Food Stamps | Tragic 13.4% | Tragic 14.1% |
Crow vs Subsaharan African Unemployment
When considering unemployment, the most significant differences between Crow and Subsaharan African communities in the United States are seen in unemployment among seniors over 65 years (16.9% compared to 5.2%, a difference of 223.5%), unemployment among ages 65 to 74 years (17.4% compared to 5.4%, a difference of 219.6%), and unemployment among ages 35 to 44 years (15.7% compared to 5.3%, a difference of 198.2%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 1.6%), unemployment among women with children ages 6 to 17 years (9.2% compared to 10.0%, a difference of 8.3%), and unemployment among ages 55 to 59 years (5.9% compared to 5.0%, a difference of 18.2%).
Unemployment Metric | Crow | Subsaharan African |
Unemployment | Tragic 11.1% | Tragic 5.8% |
Males | Tragic 10.6% | Tragic 6.0% |
Females | Tragic 12.1% | Tragic 5.7% |
Youth < 25 | Tragic 20.1% | Tragic 12.6% |
Age | 16 to 19 years | Tragic 26.2% | Tragic 18.7% |
Age | 20 to 24 years | Tragic 18.7% | Tragic 11.1% |
Age | 25 to 29 years | Tragic 15.4% | Tragic 7.2% |
Age | 30 to 34 years | Tragic 10.3% | Tragic 6.0% |
Age | 35 to 44 years | Tragic 15.7% | Tragic 5.3% |
Age | 45 to 54 years | Tragic 13.7% | Tragic 4.9% |
Age | 55 to 59 years | Tragic 5.9% | Tragic 5.0% |
Age | 60 to 64 years | Tragic 5.0% | Fair 4.9% |
Age | 65 to 74 years | Tragic 17.4% | Poor 5.4% |
Seniors > 65 | Tragic 16.9% | Poor 5.2% |
Seniors > 75 | Exceptional 5.9% | Tragic 9.2% |
Women w/ Children < 6 | Tragic 14.6% | Tragic 8.4% |
Women w/ Children 6 to 17 | Tragic 9.2% | Tragic 10.0% |
Women w/ Children < 18 | Tragic 8.2% | Tragic 6.2% |
Crow vs Subsaharan African Labor Participation
When considering labor participation, the most significant differences between Crow and Subsaharan African communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 84.5%, a difference of 11.3%), in labor force | age 35-44 (76.5% compared to 84.1%, a difference of 9.9%), and in labor force | age > 16 (60.8% compared to 66.2%, a difference of 8.9%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (38.5% compared to 38.4%, a difference of 0.14%), in labor force | age 20-24 (76.9% compared to 75.7%, a difference of 1.6%), and in labor force | age 45-54 (78.3% compared to 82.0%, a difference of 4.6%).
Labor Participation Metric | Crow | Subsaharan African |
In Labor Force | Age > 16 | Tragic 60.8% | Exceptional 66.2% |
In Labor Force | Age 20-64 | Tragic 73.3% | Poor 79.3% |
In Labor Force | Age 16-19 | Exceptional 38.5% | Exceptional 38.4% |
In Labor Force | Age 20-24 | Exceptional 76.9% | Exceptional 75.7% |
In Labor Force | Age 25-29 | Tragic 78.6% | Poor 84.3% |
In Labor Force | Age 30-34 | Tragic 75.9% | Poor 84.5% |
In Labor Force | Age 35-44 | Tragic 76.5% | Tragic 84.1% |
In Labor Force | Age 45-54 | Tragic 78.3% | Tragic 82.0% |
Crow vs Subsaharan African Family Structure
When considering family structure, the most significant differences between Crow and Subsaharan African communities in the United States are seen in single father households (3.5% compared to 2.4%, a difference of 44.0%), average family size (3.82 compared to 3.25, a difference of 17.7%), and divorced or separated (14.1% compared to 12.7%, a difference of 10.5%). Conversely, both communities are more comparable in terms of married-couple households (41.4% compared to 41.6%, a difference of 0.61%), family households with children (27.4% compared to 27.6%, a difference of 0.73%), and single mother households (7.4% compared to 7.8%, a difference of 4.8%).
Family Structure Metric | Crow | Subsaharan African |
Family Households | Exceptional 65.3% | Tragic 62.1% |
Family Households with Children | Fair 27.4% | Good 27.6% |
Married-couple Households | Tragic 41.4% | Tragic 41.6% |
Average Family Size | Exceptional 3.82 | Excellent 3.25 |
Single Father Households | Tragic 3.5% | Tragic 2.4% |
Single Mother Households | Tragic 7.4% | Tragic 7.8% |
Currently Married | Tragic 40.4% | Tragic 42.6% |
Divorced or Separated | Tragic 14.1% | Tragic 12.7% |
Births to Unmarried Women | Tragic 40.4% | Tragic 36.7% |
Crow vs Subsaharan African Vehicle Availability
When considering vehicle availability, the most significant differences between Crow and Subsaharan African communities in the United States are seen in 4 or more vehicles in household (7.8% compared to 5.7%, a difference of 36.3%), 3 or more vehicles in household (22.5% compared to 17.9%, a difference of 25.8%), and no vehicles in household (11.0% compared to 12.2%, a difference of 10.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 87.9%, a difference of 1.6%), 2 or more vehicles in household (55.7% compared to 51.9%, a difference of 7.4%), and no vehicles in household (11.0% compared to 12.2%, a difference of 10.6%).
Vehicle Availability Metric | Crow | Subsaharan African |
No Vehicles Available | Poor 11.0% | Tragic 12.2% |
1+ Vehicles Available | Fair 89.3% | Tragic 87.9% |
2+ Vehicles Available | Good 55.7% | Tragic 51.9% |
3+ Vehicles Available | Exceptional 22.5% | Tragic 17.9% |
4+ Vehicles Available | Exceptional 7.8% | Tragic 5.7% |
Crow vs Subsaharan African Education Level
When considering education level, the most significant differences between Crow and Subsaharan African communities in the United States are seen in no schooling completed (1.6% compared to 2.3%, a difference of 40.4%), master's degree (10.6% compared to 14.2%, a difference of 33.9%), and professional degree (3.2% compared to 4.1%, a difference of 29.8%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (90.0% compared to 90.1%, a difference of 0.060%), high school diploma (88.4% compared to 87.9%, a difference of 0.55%), and ged/equivalency (83.8% compared to 84.2%, a difference of 0.55%).
Education Level Metric | Crow | Subsaharan African |
No Schooling Completed | Exceptional 1.6% | Tragic 2.3% |
Nursery School | Exceptional 99.7% | Tragic 97.7% |
Kindergarten | Exceptional 99.7% | Tragic 97.7% |
1st Grade | Exceptional 99.6% | Tragic 97.7% |
2nd Grade | Exceptional 99.6% | Tragic 97.6% |
3rd Grade | Exceptional 99.6% | Tragic 97.5% |
4th Grade | Exceptional 99.6% | Tragic 97.2% |
5th Grade | Exceptional 99.5% | Tragic 97.0% |
6th Grade | Exceptional 99.4% | Tragic 96.7% |
7th Grade | Exceptional 99.1% | Tragic 95.7% |
8th Grade | Exceptional 99.0% | Tragic 95.3% |
9th Grade | Exceptional 96.1% | Tragic 94.4% |
10th Grade | Exceptional 94.7% | Tragic 93.1% |
11th Grade | Excellent 92.9% | Tragic 91.7% |
12th Grade, No Diploma | Tragic 90.0% | Tragic 90.1% |
High School Diploma | Poor 88.4% | Tragic 87.9% |
GED/Equivalency | Tragic 83.8% | Tragic 84.2% |
College, Under 1 year | Tragic 60.2% | Tragic 63.2% |
College, 1 year or more | Tragic 54.5% | Tragic 57.3% |
Associate's Degree | Tragic 37.6% | Tragic 43.9% |
Bachelor's Degree | Tragic 27.7% | Tragic 35.8% |
Master's Degree | Tragic 10.6% | Poor 14.2% |
Professional Degree | Tragic 3.2% | Poor 4.1% |
Doctorate Degree | Tragic 1.5% | Fair 1.8% |
Crow vs Subsaharan African Disability
When considering disability, the most significant differences between Crow and Subsaharan African communities in the United States are seen in hearing disability (4.2% compared to 2.9%, a difference of 44.5%), disability age 18 to 34 (8.3% compared to 7.1%, a difference of 17.1%), and disability age 35 to 64 (14.6% compared to 12.6%, a difference of 15.6%). Conversely, both communities are more comparable in terms of female disability (12.7% compared to 12.7%, a difference of 0.40%), self-care disability (2.5% compared to 2.6%, a difference of 1.7%), and disability age over 75 (49.6% compared to 48.2%, a difference of 2.9%).
Disability Metric | Crow | Subsaharan African |
Disability | Tragic 12.9% | Tragic 12.3% |
Males | Tragic 13.1% | Tragic 11.8% |
Females | Tragic 12.7% | Tragic 12.7% |
Age | Under 5 years | Average 1.2% | Tragic 1.3% |
Age | 5 to 17 years | Exceptional 5.4% | Tragic 6.2% |
Age | 18 to 34 years | Tragic 8.3% | Tragic 7.1% |
Age | 35 to 64 years | Tragic 14.6% | Tragic 12.6% |
Age | 65 to 74 years | Tragic 27.9% | Tragic 25.1% |
Age | Over 75 years | Tragic 49.6% | Tragic 48.2% |
Vision | Tragic 2.5% | Tragic 2.3% |
Hearing | Tragic 4.2% | Excellent 2.9% |
Cognitive | Fair 17.3% | Tragic 18.5% |
Ambulatory | Tragic 6.9% | Tragic 6.4% |
Self-Care | Poor 2.5% | Tragic 2.6% |